Research Publications in journals:
Analysis of Basic Features in Dynamic Network Models
Year:2018
Research Areas
- Physics chemical and mathematical,
- Engineering
Information
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Abstract
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| Time evolving Random Network Models are presented as a mathematical framework formodelling and analyzing the evolution of complex networks. This framework allows the analysis over time of several network characterizing features such as link density, clustering coefficient, degree distribution, as well as entropy-based complexity measures, providing new insight on the evolution of random networks. | |
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International
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Si |
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JCR
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Si |
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Title
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Entropy |
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ISBN
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1099-4300 |
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Impact factor JCR
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2,305 |
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Impact info
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Volume
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20 |
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10.3390/e20090681 |
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Journal number
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681 |
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From page
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1 |
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To page
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15 |
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Month
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SIN MES |
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Ranking
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Top 28% |
Open Access publication
Participants
- Autor: Pedro Jose Zufiria Zatarain UPM
- Autor: Iker Barriales Valbuena UPM
Research Group, Departaments and Institutes related
- Creador: Grupo de Investigación: Grupo de Sistemas Dinámicos, Aprendizaje y Control (SISDAC)
- Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones